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Linux/Mirai-Fbot - New variant with strong infection spreading rate

Low
Published: Tue Feb 25 2020 (02/25/2020, 00:00:00 UTC)
Source: CIRCL
Vendor/Project: tlp
Product: white

Description

Linux/Mirai-Fbot - New variant with strong infection spreading rate

AI-Powered Analysis

AILast updated: 07/02/2025, 08:58:19 UTC

Technical Analysis

Linux/Mirai-Fbot is a newly identified variant of the Mirai malware family, which is known for creating botnets primarily by infecting Linux-based Internet of Things (IoT) devices. This variant is characterized by a notably strong infection spreading rate, indicating that it can propagate rapidly across vulnerable systems. Mirai malware typically compromises devices by scanning for open Telnet ports and using default or weak credentials to gain unauthorized access. Once infected, devices become part of a botnet that can be remotely controlled to conduct distributed denial-of-service (DDoS) attacks, data exfiltration, or other malicious activities. Although this variant is classified with a low severity by the source, the rapid infection capability suggests a potential for widespread impact if left unchecked. The lack of specific affected versions or patch links indicates that this malware targets a broad range of Linux-based devices without relying on a particular vulnerability but rather on weak security configurations. No known exploits in the wild have been reported at the time of publication, but the strong spreading rate implies a high risk of rapid propagation once exploitation begins. The malware’s classification as a botnet threat aligns with Mirai’s historical use in large-scale DDoS campaigns, which can severely disrupt network availability and service continuity.

Potential Impact

For European organizations, the primary impact of Linux/Mirai-Fbot lies in the potential disruption of services due to DDoS attacks launched from infected devices within their networks or targeting their infrastructure. Organizations relying on Linux-based IoT devices, such as smart building controls, industrial control systems, or networked security cameras, are at heightened risk. Compromise of these devices can lead to degraded network performance, increased operational costs, and reputational damage. Additionally, infected devices may be leveraged as part of larger botnets to attack other targets, potentially implicating the victim organization in malicious activities. The rapid infection rate increases the likelihood of widespread compromise before detection and remediation can occur. Given the interconnected nature of European critical infrastructure and the growing adoption of IoT technologies, this malware variant could pose a significant threat to sectors such as manufacturing, energy, transportation, and telecommunications. Furthermore, the potential for cascading effects on availability and integrity of services could have regulatory and compliance implications under frameworks like GDPR and NIS Directive.

Mitigation Recommendations

To mitigate the threat posed by Linux/Mirai-Fbot, European organizations should implement targeted measures beyond generic advice: 1) Conduct comprehensive audits of all Linux-based IoT devices to identify those with default or weak credentials and immediately enforce strong, unique passwords. 2) Disable or restrict Telnet and other insecure remote access protocols on IoT devices; replace them with secure alternatives such as SSH with key-based authentication. 3) Segment IoT devices on separate network VLANs with strict firewall rules to limit lateral movement and exposure to critical infrastructure. 4) Deploy network intrusion detection and prevention systems (IDS/IPS) tuned to detect Mirai-related scanning and command-and-control traffic patterns. 5) Regularly update and patch device firmware where possible, and engage with vendors to ensure timely security updates. 6) Implement continuous monitoring and anomaly detection to identify unusual outbound traffic indicative of botnet activity. 7) Develop incident response plans specifically addressing IoT botnet infections, including rapid isolation and remediation procedures. These steps, combined with user awareness training focused on IoT security hygiene, will reduce the attack surface and limit the malware’s ability to spread and cause harm.

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Technical Details

Threat Level
3
Analysis
2
Original Timestamp
1587123147

Threat ID: 682acdbebbaf20d303f0c0cf

Added to database: 5/19/2025, 6:20:46 AM

Last enriched: 7/2/2025, 8:58:19 AM

Last updated: 8/12/2025, 4:30:00 PM

Views: 12

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